Managed Service
Amazon RDS for PostgreSQL is a fully managed service, meaning that AWS handles routine database tasks such as backups, patch management, and failover, reducing the operational burden on users.
Scalability
The service allows for easy vertically scaling of database instances as application demands grow, without requiring downtime. This helps businesses to adapt to changing workloads efficiently.
High Availability
With Multi-AZ deployments, Amazon RDS provides enhanced reliability and availability. It automatically creates a primary database instance and synchronously replicates data to a standby instance in a different Availability Zone.
Security Features
Amazon RDS integrates with AWS Identity and Access Management (IAM) for access control and offers encryption at rest and in transit capabilities, bolstering data security.
Backup and Recovery
Automatic backups, snapshots, and point-in-time recovery simplify data recovery and help ensure that data can be restored to any given second during the retention period.
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Amazon RDS for MySQL (for managed MySQL) or Amazon RDS for PostgreSQL (for managed PostgreSQL). - Source: dev.to / 2 months ago
Amazon RDS is a managed service for relational databases that makes PostgreSQL setup, scaling, and management automatic. This lets developers concentrate on creating applications instead of handling database tasks. - Source: dev.to / 10 months ago
Yay! We have now deployed our Django web application with ECS Service + Fargate on AWS. But now it works with SQLite file database. This file will be recreated on every service restart. So, our app cannot persist any data for now. In the next article we’ll connect Django to AWS RDS PostgreSQL. - Source: dev.to / about 1 year ago
Today, AWS announces the general availability of pgactive: Active-active Replication Extension for PostgreSQL, available for Amazon Relational Database Service (RDS) for PostgreSQL. Pgactive lets you use asynchronous active-active replication for streaming data between database instances to provide additional resiliency and flexibility in moving data between database instances, including writers located in... Source: over 1 year ago
Best practice would definitely be setting up a separately hosted database (I swear I'm not an AWS shill) for production as this ensures much better data integrity. Plus it manages backups etc. For you. Source: about 2 years ago
For Postgres I’d use RDS for Postgres and for your Node app well I mean you’ve got a plethora of options. Elastic Beanstalk, ECS, App Runner, EC2, etc. If you really want to go the 0 managed hardware approach I’d go with App Runner if your application is already containerized and if not then Elastic Beanstalk. Source: over 2 years ago
How cash strapped? Personally, I would just use something managed like AWS's RDS for PostgreSQL https://aws.amazon.com/rds/postgresql/ Then you don't need to worry too much about administrative tasks. As a bonus, you can start out small and easily scale as you grow, versus self-managed. It doesn't have to be AWS. You can find similar offerings from pretty much any cloud provider. - Source: Hacker News / over 2 years ago
Go to the RDS home page and click "Postgres". It lists the supported major versions. Source: over 2 years ago
In this part, we'll create a PostgreSQL RDS instance on AWS, connect it to the Django ECS task and enable access to Django Admin. We choose PostgreSQL because it supports complex SQL queries, MVCC, good performance for concurrent queries, and has a large community. As AWS says:. - Source: dev.to / almost 3 years ago
Congratulations! Now we have deployed the Django web application with ECS Service + Fargate. But now it works with SQLite file database. This file will be recreated on every service restart. So, our app cannot persist any data for now. In the next article we'll connect Django to AWS RDS PostgreSQL. - Source: dev.to / almost 3 years ago
First of all, we start by giving our RDS cluster permissions to invoke a Lambda function (using Terraform):. - Source: dev.to / about 3 years ago
AWS has a hosting plan for the PostgreSQL making it a good option long term on top of the features PostgreSQL provides. I easily found a YouTube tutorial that helped me switch to local PostgreSQL database for development purposes. Source: over 3 years ago
Google Cloud SQL or Amazon RDS, including their free tier for a year. - Source: dev.to / over 3 years ago
If you really want to share your data from different machines, put your dev POSTGRES database in the cloud, for example with https://aws.amazon.com/rds/postgresql/. Source: almost 4 years ago
This post describes how to use Kafka Connect to move data out of an Amazon RDS for PostgreSQL relational database and into Kafka. It continues by moving the data out of Kafka into a data lake built on Amazon Simple Storage Service (Amazon S3). The data imported into S3 will be converted to Apache Parquet columnar storage file format, compressed, and partitioned for optimal analytics performance by Kafka Connect. Source: almost 4 years ago
Amazon RDS is available on several database instance types - optimized for memory, performance or I/O - and provides you with six familiar database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. You can use the AWS Database Migration Service to easily migrate or replicate your existing databases to Amazon RDS. - Source: dev.to / about 4 years ago
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